{"id":"W4241132130","doi":"10.1515/iupac.79.1362","title":"Haploid","year":2016,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224622,0.001852343,0.001527063,0.003060122,0.001015377,0.002987002,0.002995535,0.00167096,0.1706905],"category_scores_gemma":[0.008012214,0.0008400076,0.001866586,0.004931186,0.0004118805,0.001878974,0.002081162,0.001771305,0.219088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130263,"about_ca_system_score_gemma":0.002590562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294593,"about_ca_topic_score_gemma":0.02442203,"domain_scores_codex":[0.9987528,0.0002213223,0.0001754842,0.0004755032,0.0002169327,0.0001579386],"domain_scores_gemma":[0.9973006,0.0008213609,0.0002836125,0.00084265,0.0005211612,0.0002305892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001633449,0.00001774659,0.001127712,0.0009793629,0.00005417313,0.00002570198,0.00002769527,0.0002018779,0.000129433,0.0006525512,0.9916983,0.004922196],"study_design_scores_gemma":[0.0002703329,0.00001989152,0.002655753,0.0003265462,0.00004482867,0.00007625782,0.00005610509,0.0002020077,0.0002280382,0.0014591,0.994638,0.00002323209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009378833,0.00007103977,0.00008299461,0.00004822288,0.00002300842,0.00001135535,0.9984251,0.0004424442,0.0008020168],"genre_scores_gemma":[0.0002949327,0.00007904096,0.0003369429,0.00008692392,0.000008495742,0.00007145136,0.9981954,0.0001343541,0.0007924924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1706905,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792399697922608,"score_gpt":0.3985316684157354,"score_spread":0.3806076714365093,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}